In the coming 6G communications, network densification, high throughput, positioning accuracy, energy efficiency, and many other key performance indicator requirements are becoming increasingly strict. In the future, how to improve work efficiency while saving costs is one of the foremost research directions in wireless communications. Being able to learn from experience is an important way to approach this vision. Transfer learning (TL) encourages new tasks/domains to learn from experienced tasks/domains for helping new tasks become faster and more efficient. TL can help save energy and improve efficiency with the correlation and similarity information between different tasks in many fields of wireless communications. Therefore, applying TL to future 6G communications is a very valuable topic. TL has achieved some good results in wireless communications. In order to improve the development of TL applied in 6G communications, this article performs a comprehensive review of the TL algorithms used in different wireless communication fields, such as base stations/access points switching, indoor wireless localization and intrusion detection in wireless networks, etc. Moreover, the future research directions of mutual relationship between TL and 6G communications are discussed in detail. Challenges and future issues about integrate TL into 6G are proposed at the end. This article is intended to help readers understand the past, present, and future between TL and wireless communications.

中文翻译：

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迁移学习推动 6G 无线通信：最新进展和未来挑战

在即将到来的6G通信中，网络密集化、高吞吐量、定位精度、能效等诸多关键性能指标要求越来越严格。未来，如何在节约成本的同时提高工作效率是无线通信领域的首要研究方向之一。能够从经验中学习是实现这一愿景的重要途径。迁移学习 (TL) 鼓励新任务/领域向经验丰富的任务/领域学习，以帮助新任务变得更快、更高效。在无线通信的许多领域，TL 可以通过不同任务之间的相关性和相似性信息来帮助节能和提高效率。因此，将TL应用到未来的6G通信中是一个非常有价值的课题。TL在无线通信方面取得了一些不错的成绩。为了促进TL在6G通信中应用的发展，本文对不同无线通信领域中使用的TL算法进行了全面回顾，例如无线网络中的基站/接入点切换、室内无线定位和入侵检测等。并且，详细讨论了TL与6G通信相互关系的未来研究方向。最后提出了将TL集成到6G中的挑战和未来问题。本文旨在帮助读者了解 TL 和无线通信之间的过去、现在和未来。本文对不同无线通信领域中使用的 TL 算法进行了全面回顾，如基站/接入点切换、无线网络中的室内无线定位和入侵检测等。此外，TL 和 TL 之间相互关系的未来研究方向详细讨论了 6G 通信。最后提出了将TL集成到6G中的挑战和未来问题。本文旨在帮助读者了解 TL 和无线通信之间的过去、现在和未来。本文对不同无线通信领域中使用的 TL 算法进行了全面回顾，如基站/接入点切换、无线网络中的室内无线定位和入侵检测等。此外，TL 和 TL 之间相互关系的未来研究方向详细讨论了 6G 通信。最后提出了将TL集成到6G中的挑战和未来问题。本文旨在帮助读者了解 TL 和无线通信之间的过去、现在和未来。最后提出了将TL集成到6G中的挑战和未来问题。本文旨在帮助读者了解 TL 和无线通信之间的过去、现在和未来。最后提出了将TL集成到6G中的挑战和未来问题。本文旨在帮助读者了解 TL 和无线通信之间的过去、现在和未来。